arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1902.08260cond-mat.mtrl-sci
收藏

晶格热导率的计算预测--分子动力学与玻尔兹曼输运方法的比较

Computational prediction of lattice thermal conductivity -- a comparison of molecular dynamics and Boltzmann transport approaches

Marcello Puligheddu, Yi Xia, Maria K. Y. Chan, Giulia Galli

摘要:

晶格热导率的预测模型对于理解和设计广泛应用的材料具有根本的重要性。晶格热导率的计算主要有两种方法,即分子动力学(MD)模拟和近似求解玻尔兹曼输运方程(BTE)的计算。我们提出了一个详细的直接比较,这两种方法,作为典型的情况下,氧化镁和碲化铅。使用经验势进行的比较,考虑到四阶声子散射,温度依赖的声子频率(声子重整化)的影响,并调查量子与经典统计的影响。我们澄清,均分,而不是麦克斯韦玻尔兹曼,在MD模拟声子的统计。我们发现,从MD和BTE晶格热导率值显示出明显的,令人满意的协议,但这样的协议是错误的结果取消。我们还表明,统计对热导率的主要影响是通过散射率依赖于声子种群。

英文摘要:

The predictive modeling of lattice thermal conductivity is of fundamental importance for the understanding and design of materials for a wide range of applications. Two major approaches, namely molecular dynamics (MD) simulations and calculations solving approximately the Boltzmann transport equation (BTE), have been developed to compute the lattice thermal conductivity. We present a detailed direct comparison of these two approaches, using as prototypical cases MgO and PbTe. The comparison, carried out using empirical potentials, takes into account the effects of fourth order phonon scattering, temperature-dependent phonon frequencies (phonon renormalization), and investigates the effects of quantum vs. classical statistics. We clarify that equipartition, as opposed to Maxwell Boltzmann, govern the statistics of phonons in MD simulations. We find that lattice thermal conductivity values from MD and BTE show an apparent, satisfactory agreement; however such an agreement is the result of error cancellations. We also show that the primary effect of statistics on thermal conductivity is via the scattering rate dependence on phonon populations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑